Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies

Details Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies

2000-05-12

arxiv.org/abs/cs/0005020v1

NAACL/ANLP Workshop on Automatic Summarization, Seattle, WA, April 30, 2000

Computer Science

Computation and Language

10 pages Corpus availability at http://perun.si.umich.edu/~radev/mds

Scientific paper

We present a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We also describe two new techniques, based on sentence utility and subsumption, which we have applied to the evaluation of both single and multiple document summaries. Finally, we describe two user studies that test our models of multi-document summarization.

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